排序方式: 共有7条查询结果,搜索用时 15 毫秒
1
1.
2.
鼠巨噬细胞集落刺激因子-1受体(mCSF-1R)部分序列与质粒pGEX-2T谷胱苷肽转移酶(GST)融合,融合蛋白GST-CD-Pst(胞浆区),GST-CTerm(C-末端)和GST-KI(激酶插入区)成功地在大肠杆菌JM109株表达。初步结果指出:(1)GST-融合蛋白在体外激酶分析中可以作为底物;(2)由PKA导致的磷酸化可能具有生理学意义;(3)mCSF-1R被CKII磷酸化。32P标记GST-CD-Pst的磷酸氨基酸分析证实,mCSF-1R的胞浆区丝氨酸上被磷酸化,已制备抗GST-CTerm,GST-KI和GST-CD-Pst兔抗体。抗血清的筛选通过野生型32D-CSF-1R转染子免疫沉淀进行。 相似文献
3.
4.
5.
Affinity chromatography, applied to discover the enzyme inhibitors, needs special column with target protein and its carrier. Selection of stationary phase and mobile phase needs careful considerations due to the characteristics of proteins. In this study, a method immunoprecipitation (IP) coupled with HPLC-DAD–MS was developed to discover the aromatase ligands from Glycyrrhiza uralensis. An SB-C18 column was employed to separate target compounds without special consideration in mobile phase. Twenty-one compounds, including isolated compounds 4, 7, 8, 10, 11, 13, 15, 18–20, 23 and non-isolated compounds A-J, were found to have good affinity to aromatase by LC–MS. Seven of them (7, 15, 18, 19, 23, D, E) were detected to bind with aromatase in MCF-7 cells by IP coupled with HPLC–MS/MS. Bioassays disclosed aromatase inhibitory activities of the isolated compounds mentioned above, verifying the efficiency of IP coupled with HPLC–MS/MS as a method to screen aromatase ligands. 相似文献
6.
针对新一代测序(NGS)的染色质免疫共沉淀的高通量测序(ChIP-Seq)数据集的模体发现问题,提出一种基于费舍尔(Fisher)精确检验的模体发现算法——FisherNet。首先运用费舍尔精确检验计算所有k长短序的P值并筛选出模体的种子;然后,构建初始模体的位置赋权矩阵;最后,用位置赋权矩阵扫描所有k长短序形成最终模体。通过小鼠胚胎干细胞(mESC)和红细胞、人类淋巴母细胞系的ChIP-Seq数据集以及ENCODE数据库的数据进行验证,结果表明所提算法精度和计算速度均高于其他常见的模体发现算法,并且能够发现超过80%的已知转录因子核心模体及其辅调控因子模体。该算法在保证高精度的同时可以应用到大规模测序数据集。 相似文献
7.
1